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It is usually not easy to extract fault features from the vibration signals directly, since the complexity of the mechanical structure and the serious background interference in industry testing site. In order to deal with these kinds of monitoring problems, a mechanical failure diagnosis method based on reference signal frequency domain semi-blind extraction is proposed. In this method, dynamic particle...
Accurate and computationally efficient means for classifying human activities have been the subject of extensive research efforts. Most current research focuses on extracting complex features to achieve high classification accuracy. We propose a template selection approach based on Dynamic Time Warping, such that complex feature extraction and domain knowledge is avoided. We demonstrate the predictive...
Social network sites are becoming great through millions of users and information have been gathered from the users. This information have equal advantages to their friends and spammers. Twitter is one of the most popular social networks that, users can send short textual messages namely tweet. Researches have shown that this network is subject to spammer's invasion more than other social networks...
In this paper, the effect of keyword choice including and excluding plosive sounds on isolated speaker recognition system is investigated. In order to perform this study, a Turkish word database has been created consisting of 48 words including plosives and 7 words without plosives. Records are acquired at a sampling frequency of 16 kHz in a professional recording studio, with sound insulation. The...
Chinese character component recognition plays an important role in Chinese character studying process. In this digital age, using the technology of computer science to analyzing Chinese character component, has a very important significance for the development of traditional culture. In this paper, we propose an optimal combined strategy based method for component recognition. First, we execute preprocessing...
One of the crucial requirements for the practical implementation of empirical diagnostic systems is the capability of handling missing data. This is done by resorting to missing data imputation techniques in a pre-processing module. The pre-processing module is a part of a previously developed diagnostic system which receives batches of residuals generated by a combined set of observers and progressively...
Topic evolution is an important research topic in natural language processing. Existing work has been focused on topic evolution of long text such as Web pages, news and blogs. In this paper, we aim to derive topic evolution summaries and its topology structures from short text like microblogs. We propose a microblog topic evolution algorithm based on retweeting relationships (MTERR). Firstly, we...
This study presents a malware classification system designed to classify malicious processes at run-time on production hosts. The system monitors process-level system call activity and uses information extracted from system call traces as inputs to the classifier. The system is advantageous because it does not require the use of specialized analysis environments. Instead, a ‘lightweight’ service application...
The present paper presents detailed investigation of some parameters of our recently proposed approach for multidimensional data clustering aimed at dynamic sound fields' visualization. These include the following: number of direction selective cells (MT neurons) applied as filters at the first step of feature extraction from the raw data; size of ESN reservoir used at the second step for feature...
Automatic recognition of emotion in speech is an active area of research. One of the important open challenges relates to how the emotional characteristics of speech change in time. Past research has demonstrated the importance of capturing global dynamics (across an entire utterance) and local dynamics (within segments of an utterance). In this paper, we propose a novel concept, EmoShapelets, to...
In order to remove the problem of the shadow of moving vehicles in video surveillance, this paper presents an algorithm based on projection features of the connected regions to eliminate the dynamic shadow. Firstly, the Frame Difference method is applied to image blocks to extract the background. Then, the moving vehicles are detected as the foreground in the current frame by background subtraction...
Most of the existing techniques for palmprint recognition are based on metrics that evaluate the distance between a pair of features. These metrics are typically based on static functions. In this paper we propose a new technique for palmprint recognition based on a dynamical system approach, focusing on preliminary experimental results. The essential idea is that the procedure iteratively eliminates...
Video summary technology has become a hotspot of current researches. The application of sports video summary can quickly fetch important information in sports video that help sports enthusiasts and sports senior analysis the video. The present study takes tennis video as the research object. Firstly, determine the number of key frames based on statistical rules, and then extract key frames from different...
For traditional data mining tasks, algorithms are commonly selected by manual effort. However, it is a challenge for any practitioner to select the most appropriate algorithm from hundreds of candidates. To address this issue, we have proposed a novel model for supporting automatic selection on data mining algorithms. The model incorporates the extracted characteristics of data sets and the dynamically...
In security surveillance video (SSV), foreign object occlusion is increasingly common. Automatic detection of suspicious occlusion has become important. In this paper, a banner occlusion detection approach is proposed. The proposed approach first detects the banner in the image using both color feature and shape feature. More specifically, the proposed approach exploits the HSV color space to extract...
In this paper, a realtime pseudo-structure extraction algorithm for 3D indoor point cloud data (PCD) is proposed. This algorithm is called Convex Cut (CC) because of its two main steps: cutting the PCD with arbitrary planes, and extracting convex parts. CC can be used as a preprocessing module for other existing algorithms to extract static parts in dynamic environments or to represent a principal...
Through real time crawling network topology structure of Tibetan web, analyzing the topology structure, first of all do the community division to find the nodes with the weak ties features by network topology structure and the theory of the community division. At the beginning of the immune, the nodes with weak ties are immune first, then the maximum degree of acquaintance immunization strategy were...
With the rapid development of Internet and Web 2.0, online social networks, such as Facebook, Twitter, LinkedIn, have become valuable sources for public opinion mining and sentiment analysis. Millions of users are sharing their views and discussing current issues through social media every day. Microblog, as a convenient and easily access platform, also attracts more and more people to express their...
The problems of moving object detecting and tracking on UAV (Unmanned Aerial Vehicle) platforms in surveillance operations are addressed, and a robust tracking method for reliably detecting and tracking of foreground moving objects in a dynamically changing environment is proposed. Firstly, using the modified robust local feature detector SURF (Speeded Up Robust Features) which is linear ordering...
We introducted some basic structures and functions of Kinect briefly, analyzed depth images by aquiring camera body movement of the Kinect body feeling device. Further, we aquired 20 group node data by combinning with the SDK, so we proposed algorithm of gesture recognition by extracting feature vector in this paper. Representation method of action has been proposed based on the human body structure...
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